Project Overview
We are sourcing independent 3D Modeling and Python Specialists to provide their expertise for a specialized AI 3D asset collection project. As AI models increasingly generate and interact with 3D environments, their accuracy relies entirely on robust, expert-crafted training data. The objective of this project is to autonomously produce collision-accurate 3D meshes from 2D reference images, write procedural generation scripts, and deliver structured programmatic outputs (JSON/JS) to train AI systems on geometric construction and trajectory logic.
Project Deliverables & Scope
Operate autonomously to generate precise 3D assets and programmed outputs. Expected deliverables include:
- Procedural Geometry Generation: Writing Blender Python (bpy) scripts or Three.js/JavaScript code to procedurally generate 3D geometry using geometric primitives and Boolean operations (union, subtraction, extrusion).
- Mesh Alignment & Export: Producing collision-accurate meshes from 2D reference images (masked + RGB), capturing accurate screenshot alignments, and exporting assets to .obj, .glb, or similar formats.
- Structured Output & Trajectory Logging: Producing programmatic JSON/JS outputs representing the mesh and maintaining meticulous trajectory logs that capture sequential build actions for reproducibility.
- Quality Assurance & Workflow Adherence: Auditing all assets against strict quality checklists before submission, maintaining precise file naming conventions, and sustaining high-volume output within a structured annotation platform.
Required Expertise
To successfully fulfill the deliverables of this project, Contractors must possess a strong blend of 3D modeling fundamentals and programmatic scripting skills.